Dense Res Block — DenseResBlock • fastai

Resnet block of `nf` features. `conv_kwargs` are passed to `conv_layer`.

DenseResBlock(
  nf,
  norm_type = 1,
  ks = 3,
  stride = 1,
  padding = NULL,
  bias = NULL,
  ndim = 2,
  bn_1st = TRUE,
  act_cls = nn()$ReLU,
  transpose = FALSE,
  init = "auto",
  xtra = NULL,
  bias_std = 0.01,
  dilation = 1,
  groups = 1,
  padding_mode = "zeros"
)

Arguments

nf: number of features
norm_type: normalization type
ks: kernel size
stride: stride
padding: padding
bias: bias
ndim: number of dimensions
bn_1st: batch normalization 1st
act_cls: activation
transpose: transpose
init: initizalier
xtra: xtra
bias_std: bias standard deviation
dilation: dilation number
groups: groups number
padding_mode: padding mode

Value

block